This role pays less than
63%
of similar roles. Most pay
$131,365–$203,862
— the shaded band above.
At the midpoint, this role pays about
$159k
versus about
$168k
for comparable roles.
Based on 240 similar postings.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
46 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 42 roles with salary data.
The Principal Data Scientist - Oncology joins the Data Science and Digital Health team to standardize and connect biomedical and clinical data across the product lifecycle. This role involves building a scalable knowledge graph infrastructure focused on oncology research data, ensuring interoperability for analytics, search, and AI applications. The candidate will curate ontologies using RDF standards, develop ingestion pipelines, and manage graph database infrastructure. Key technical requirements include proficiency in SPARQL, GraphQL, REST services, and graph databases like Neo4j or Amazon Neptune. The role also requires experience with SQL, Python-based parsing, and CI/CD tools such as Jenkins or GitLab. By integrating enterprise master data with R&D information, the individual will solve complex data organization challenges to create AI-ready datasets for drug discovery, disease mapping, and treatment development within the oncology domain.
What does a Data Scientist earn in California?
Median $208978 from 66 postings across 27 companies.
Artificial Intelligence
Data Science
Advanced Analytics
Digital Health
Real-World Evidence
Omics
Electronic Health Records
Text Mining
Data Mining
Predictive Technologies
Digital Pathology
Master Data Management
Quality Control
AWS
GraphRAG
Knowledge Graphs
Data Architecture
Data Engineering
Feature Stores
Metadata Management
SDTM
ADaM
MedDRA
FHIR
OMOP
DICOM
Data Governance
FAIR Data Principles
Distributed Data Processing
Python
PyTorch
MONAI
SimpleITK
ITK
PyRadiomics
nnU-Net
3D Slicer
OpenCV
Deep Learning
Radiomics
MLOps
DICOM
CT
MRI
PET
Data Science
Medical Imaging
Cloud ML Infrastructure